VoxelCubes/PanelCleaner
A CLI tool that applies machine learning models to detect and mask text bubbles in manga images for automated cleaning.
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PanelCleaner uses trained ML models to identify text within manga speech bubbles, then generates precise masks to cover detected text. The pipeline visualizes detection boxes, expands masks to catch nearby artifacts, and applies border denoising for clean results. It outputs either transparent mask layers or cleaned images with the mask applied, intended to reduce manual cleanup work for scanlation projects.
Frequently asked
- What is VoxelCubes/PanelCleaner?
- A CLI tool that applies machine learning models to detect and mask text bubbles in manga images for automated cleaning.
- Is PanelCleaner open source?
- Yes — VoxelCubes/PanelCleaner is open source, released under the GPL-3.0 license.
- What language is PanelCleaner written in?
- VoxelCubes/PanelCleaner is primarily written in Python.
- How popular is PanelCleaner?
- VoxelCubes/PanelCleaner has 464 stars on GitHub.
- Where can I find PanelCleaner?
- VoxelCubes/PanelCleaner is on GitHub at https://github.com/VoxelCubes/PanelCleaner.